气候变化领域集成服务门户(CCPortal): Evaluation and improvement of MODIS aerosol optical depth products over China

CCPortal

DOI	10.1016/j.atmosenv.2019.117251
	Evaluation and improvement of MODIS aerosol optical depth products over China
	Li Y.; Shi G.; Sun Z.
发表日期	2020
ISSN	1352-2310
卷号	223
英文摘要	In this study, we use the level-1.5 and level-2.0 aerosol optical depth (AOD) from the Aerosol Robotic Network (AERONET) Version 3 dataset at 12 sites in China to evaluate the MODIS Collection 6.1 (C6.1) AOD products retrieved using three distinct algorithms: Dark Target (DT), Deep Blue (DB), and DTB merged from DT and DB from Terra and Aqua. The performance of the three algorithms is evaluated. Based on these evaluations, a simple and efficient AOD retrieval algorithm at a high spatial resolution of 1.0 km for China is proposed. AODs at this spatial resolution over China are then retrieved using the methods of DT and DB, respectively. The evaluation results showed that: (1) there is little difference in the AOD products derived from Terra and Aqua. The differences in the determination coefficient (R2) between the two platforms at most sites are less than 0.05. (2) There are relatively large differences in AODs between the AERONET level-1.5 dataset and MODIS dataset while these differences are mostly filtered out by the quality assurance process of the AERONET level-2.0 dataset. The statistical tests indicate that the MODIS DTB AOD product is generally better than those from the other two algorithms. Using the new algorithm developed in this study, the AODs at a high spatial resolution of 1 km in the whole of China are determined and the results are compared with the MODIS DTB product. The results show that the AODs determined using the new method agree reasonably well with those of the MODIS DTB dataset though the new results have slightly negative biases in the wintertime. However, these negative biases may not be a negative sign due to the fact that the MODIS AODs are subject to a positive bias relative to the AERONET AODs. © 2019 Elsevier Ltd
关键词	AERONET AOD China MODIS
语种	英语
scopus关键词	Aerosols; Image resolution; Large dataset; Optical properties; Quality assurance; Supercomputers; AERONET; Aerosol robotic networks; China; Determination coefficients; Evaluation and improvement; High spatial resolution; MODIS; Quality assurance process; Radiometers; AERONET; aerosol; algorithm; Aqua (satellite); data set; MODIS; optical depth; spatial resolution; Terra (satellite); aerosol; algorithm; China; comparative study; controlled study; geographic distribution; optical depth; pollution monitoring; priority journal; quality control; solar radiation; surface property; urban area; China
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/249380
作者单位	School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Science to Services, Australian Bureau of Meteorology, Melbourne, Australia
推荐引用方式 GB/T 7714	Li Y.,Shi G.,Sun Z.. Evaluation and improvement of MODIS aerosol optical depth products over China[J],2020,223.
APA	Li Y.,Shi G.,&Sun Z..(2020).Evaluation and improvement of MODIS aerosol optical depth products over China.ATMOSPHERIC ENVIRONMENT,223.
MLA	Li Y.,et al."Evaluation and improvement of MODIS aerosol optical depth products over China".ATMOSPHERIC ENVIRONMENT 223(2020).